AmeriSave Mortgage Corporation

Director, Generative and Agentic AI Engineering

AmeriSave Mortgage Corporation

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $175,000 - $350,000 per year

Job Level

Lead

Tech Stack

AzureCloudGoogle Cloud PlatformPythonTypeScript

About the role

  • Lead the design, development, and deployment of enterprise-grade Gen AI and agentic AI applications
  • Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines with hybrid retrieval, semantic chunking, and vector search
  • Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services
  • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models
  • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking
  • Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions
  • Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy
  • Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions

Requirements

  • 8+ years in software engineering or data science
  • 3+ years in Gen AI or LLM-based systems
  • Strong programming skills in TypeScript, Python, or similar languages
  • Experience with REST API development, containerization, and cloud platforms (Azure, GCP)
  • Experience with Azure OpenAI and GCP Vertex AI
  • Deep understanding of AI governance, model safety, and prompt engineering
  • Experience with LLMOps practices including prompt versioning, caching, observability, and cost tracking
  • Proven ability to lead teams and deliver enterprise-grade AI applications
  • Excellent communication, collaboration, and problem-solving skills
  • Bonus: Experience with BytePro LOS and Asterisk telephony systems
  • Bonus: Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA
  • Bonus: Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager
  • Bonus: Experience in fintech, lending, or mortgage tech
  • Bonus: Contributions to open-source Gen AI or document AI projects
  • Bonus: Knowledge of compliance workflows (e.g., KYC, income verification)
  • Bonus: Experience with multimodal AI and agentic frameworks
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